Abstract #4246

Synchronization of longitudinal multi time-point breast DCE data using a group-wise registration approach

Chandan Aladahalli¹, KS Shriram¹, Dattesh Shanbhag¹, Rakesh Mullick¹, Reem Bedair², Fiona Gilbert², Andrew Patterson², and Martin Graves²

¹GE Global Research, Bengaluru, India, ²University of Cambridge, Cambridge, United Kingdom

Multi-parametric longitudinal imaging is an important tool to monitor therapy response at tumor locations. The key challenge in longitudinal data is the synchronization of volumes across time points, as large variations are seen due to therapy response, weight loss/gain, patient positioning, and surgery. We employ a group-wise registration approach to synchronize the longitudinal volumes and compare/contrast it with a more typical pair-wise registration approach. Group-wise approach results in consistent registration across time-points as it does not require a reference image. The group-wise non-rigid registration approach is demonstrated on longitudinal MRI data used for assessing breast tumor therapy response.

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